Combination of UAV and deep learning to estimate wheat yield at ripening stage: The potential of phenotypic features
2023 | journal article. A publication with affiliation to the University of Göttingen.
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Cite this publication
Combination of UAV and deep learning to estimate wheat yield at ripening stage: The potential of phenotypic features
Peng, J.; Wang, D.; Zhu, W.; Yang, T.; Liu, Z.; Eyshi Rezaei, E. & Li, J. et al. (2023)
International Journal of Applied Earth Observation and Geoinformation, 124 pp. 103494. DOI: https://doi.org/10.1016/j.jag.2023.103494
Documents & Media
Details
- Authors
- Peng, Jinbang; Wang, Dongliang; Zhu, Wanxue; Yang, Ting; Liu, Zhen; Eyshi Rezaei, Ehsan; Li, Jing; Sun, Zhigang; Xin, Xiaoping
- Issue Date
- 2023
- Journal
- International Journal of Applied Earth Observation and Geoinformation
- ISSN
- 1569-8432
- Language
- English
- Sponsor
- http://dx.doi.org/10.13039/501100002367 Chinese Academy of Sciences
http://dx.doi.org/10.13039/501100012166 National Key Research and Development Program of China
http://dx.doi.org/10.13039/501100001809 National Natural Science Foundation of China
